Caddy vs Cloud CMS

What Caddy is

Caddy is a web server that obtains and renews TLS certificates automatically, with a configuration file most people can read.

What Cloud CMS is

Cloud CMS is now presented within the proprietary Gitana content platform. It models structured and relational content as a JSON-Schema-backed graph, supports branches, workflow, releases, search, REST and GraphQL delivery, and can be purchased as hosted service or commercially licensed self-managed Kubernetes containers. Plan limits, SSO, MFA, support, SLA and infrastructure responsibility vary substantially by edition.

What Cloud CMS is built to do

Content graph

Models JSON documents, binary attachments and typed relationships using JSON Schema-backed definitions.

Versioned collaboration

Uses branches, changesets, pull-style merges, releases and conflict handling for content work.

REST and GraphQL

Delivers structured content through APIs, queries, search, traversal and supported language drivers.

Enterprise identity

Supports plan-dependent SAML 2.0 or JWT SSO, group mapping and multifactor options.

Choose Caddy if

• Anyone who wants a correctly configured HTTPS server without ceremony.

Choose Cloud CMS if

• Complex content domains with typed relationships, workflow and multiple delivery environments
• Headless applications needing REST, GraphQL, search and scheduled publishing
• Organizations that can validate hosted limits or operate the full Kubernetes stack

Skip Cloud CMS if

• A simple website CMS would satisfy the content and publishing model
• Required users, API volume, SSO or SLA do not fit an approved commercial tier
• The team cannot govern graph schemas, workflow and self-managed infrastructure complexity

Caddy: pros & cons

• HTTPS configured correctly by default
• Configuration is short and legible
• Single binary, easy to deploy
• Smaller community than nginx
• Fewer third-party guides
• Some advanced setups need plugins

Cloud CMS: pros & cons

• Rich content model: JSON Schema types, aspects, binary attachments and graph associations support structured and relational domains.
• Editorial lifecycle: Branches, changesets, workflow, releases and scheduled deployments separate work from live delivery.
• API-first delivery: REST, GraphQL, queries, search, traversal and language drivers support headless applications.
• Deployment choice: Hosted plans shift backups and maintenance to Gitana; self-managed containers run in a customer VPC or on-premises.
• Commercial platform: The product is proprietary and self-managed use requires a commercial license.
• Material plan differences: Users, projects, API throughput, storage, SLA, SSO, MFA and support change by hosted tier.
• Self-managed operations: Kubernetes deployment transfers upgrades, backups, availability, secrets, databases and observability to the customer.
• Modeling complexity: Graph relationships, branching, workflow and deployment mappings require governance and specialist implementation.